probability: Convenience Functions to Compute Probabilities

In pierucci/heemod: Markov Models for Health Economic Evaluations

Convenience Functions to Compute Probabilities

Description

These convienience functions make it easier to compute transition probabilities from indidence rates, OR, RR, or probabilities estimated on a different timeframe.

Usage

rescale_prob(p, to = 1, from = 1)

prob_to_prob(...)

rate_to_prob(r, to = 1, per = 1)

or_to_prob(or, p)

rr_to_prob(rr, p)

Arguments

p	Probability.
to	Compute probability for that timeframe.
from	Timeframe of the original probability.
...	For deprecated functions.
r	Rate.
per	Number of person-time corresponding to the rate.
or	Odds ratio.
rr	Relative risk.

Value

A probability.

Examples

# convert 5-year probability 
# to 1-year probability
rescale_prob(p = .65, from = 5)

# convert 1-year probability 
# to 1-month probability
rescale_prob(p = .5, to = 1/12)

# convert rate per 1000 PY
# to 5-year probability
rate_to_prob(r = 162, per = 1000, to = 5)

# convert OR to probability
or_to_prob(or = 1.9, p = .51)

# convert RR to probability
rr_to_prob(rr = 1.9, p = .51)

pierucci/heemod documentation built on July 17, 2022, 9:27 p.m.